In the “Public Page Performance Analysis” tab, you can see which posts have more active user interactions, so as to make wise judgments on which content on the public page resonates more. These analysis results help build audience groups and attract more users to participate in business interactions. Content marketing performance analysis is generally carried out from five aspects: reach and interaction rate analysis, operation analysis, user analysis, browsing information analysis, and post analysis.

1. Reach and interaction rate analysis

Through the reach and interaction rate, you can understand how many users have viewed, liked, shared and commented on the company’s posts. This helps to understand which posts are most attractive and create more content that users like. The reach and interaction rate include three sub-indicators: post reach, post interaction times, and new likes on the page.

2. Action analysis

Understand what actions users have taken on the company’s public page, such as visiting the website or clicking on the call to action button. This helps to adjust the public page content and attract users to take the actions that the company wants them to take. Actions include new likes on the page, new fans, website clicks, and homepage button clicks.

3. User Analysis

Understand the audience through demographic data such as age, gender and region. In addition, you can also understand the time when the audience views the public page and the channels through which they discovered the public page, so as to make adjustments to subsequent posts.

4. Browsing Information Analysis

Understand how many users have viewed the public page and which sections these users have viewed. You can use this information to deliver fast push posts and ads to different audiences, or customize content that the audience is interested in.

5. Post Analysis

View segmented data to understand the performance of each Facebook public page post over a period of time. Based on the number of people reached by each post and the number of interactions in response to the post by clicking and leaving a mood, you can quickly analyze which posts perform best.